[Hardware] Support platforms and plugin system (#774)

Signed-off-by: gcanlin <canlinguosdu@gmail.com>

tests/e2e/offline_inference/test_diffusion_cpu_offload.py

@@ -7,7 +7,7 @@ from vllm.distributed.parallel_state import cleanup_dist_env_and_memory
 
 from tests.utils import GPUMemoryMonitor
 from vllm_omni.inputs.data import OmniDiffusionSamplingParams
-from vllm_omni.utils.platform_utils import is_npu, is_rocm
+from vllm_omni.platforms import current_omni_platform
 
 # ruff: noqa: E402
 REPO_ROOT = Path(__file__).resolve().parents[2]
@@ -20,7 +20,7 @@ models = ["riverclouds/qwen_image_random"]
 
 
 def inference(model_name: str, offload: bool = True):
-    torch.cuda.empty_cache()
+    current_omni_platform.empty_cache()
     device_index = torch.cuda.current_device()
     monitor = GPUMemoryMonitor(device_index=device_index, interval=0.02)
     monitor.start()
@@ -45,7 +45,7 @@ def inference(model_name: str, offload: bool = True):
     return peak
 
 
-@pytest.mark.skipif(is_npu() or is_rocm(), reason="Hardware not supported")
+@pytest.mark.skipif(current_omni_platform.is_npu() or current_omni_platform.is_rocm(), reason="Hardware not supported")
 @pytest.mark.parametrize("model_name", models)
 def test_cpu_offload_diffusion_model(model_name: str):
     try: